OSS: A Semantic Similarity Function based on Hierarchical Ontologies
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 551-555.
Abstract
Various approaches have been proposed to quantify the similarity between concepts in an ontology. We present a novel approach that allows similarities to be asymmetric while still using only information contained in the structure of the ontology. We show through experiments on the WordNet and GeneOntology that the new approach achieves better accuracy than existing techniques.
Vincent Schickel-Zuber, and Boi Faltings. 2007. OSS: A Semantic Similarity Function based on Hierarchical Ontologies. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 551–555. https://ijcai.org/proceedings/2007/87
Schickel-Zuber, V., & Faltings, B. (2007). OSS: A Semantic Similarity Function based on Hierarchical Ontologies. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 551–555). IJCAI. https://ijcai.org/proceedings/2007/87
@inproceedings{ijcai2007p87,
title = {OSS: A Semantic Similarity Function based on Hierarchical Ontologies},
author = {Schickel-Zuber, Vincent and Faltings, Boi},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {551--555},
year = {2007},
url = {https://ijcai.org/proceedings/2007/87},
}
TY - CPAPER TI - OSS: A Semantic Similarity Function based on Hierarchical Ontologies AU - Schickel-Zuber, Vincent AU - Faltings, Boi T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 551 EP - 555 UR - https://ijcai.org/proceedings/2007/87 ER -Copied
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